Soil Landscape Grids of Canada, 100m

Soil Landscape Grids of Canada, 100m This data product is currently under evaluation and review. It may contain inaccuracies or be subject to change. Users should exercise caution and discretion when interpreting or relying on this information. The government assumes no liability for any errors or decisions based on this preliminary data. For more details, please see the Government of Canada's Open Commons license (https://open.canada.ca/en/open-government-licence-canada). The Canadian Soil Information Service has developed a detailed dataset of Canada's soils and associated properties using advanced machine learning techniques. The Soil Landscape Grids of Canada is produced using a combination of historical and current data from both soil sampling and remote sensing. The machine learning model is trained using over 10,000 pedon locations from across Canada as well as 70 covariate datasets. This new dataset is pivotal in addressing the gaps left by legacy soil surveys and facilitates more comprehensive assessments nationwide. As new data becomes available and machine learning techniques advance, this information can be updated much faster than with traditional soil surveying methods. 2025-04-14 Agriculture and Agri-Food Canada aafc.cansis-siscan.aac@agr.gc.ca AgricultureForm DescriptorsNature and EnvironmentScience and TechnologyAgricultureSoil taxonomySoilMapsGeographic dataGeographic information systems Data Product Specification (English)PDF https://agriculture.canada.ca/atlas/data_donnees/griddedSoilsCanada/supportdocument_documentdesupport/en/ISO_19131_Soil_Landscape_Grids_of_Canada_100m_–_Data_Product_Specifications.pdf Pre-packaged GeoTIF filesGeoTIF https://agriculture.canada.ca/atlas/data_donnees/griddedSoilsCanada/data_donnees/raster/ Data Product Specification (French)PDF https://agriculture.canada.ca/atlas/data_donnees/griddedSoilsCanada/supportdocument_documentdesupport/fr/Grilles_des_pedopaysages_du_Canada_100_m_-_Specifications_de_contenu_informationnel_produites_conformement_a_la_norme_ISO_19131.pdf

This data product is currently under evaluation and review. It may contain inaccuracies or be subject to change. Users should exercise caution and discretion when interpreting or relying on this information. The government assumes no liability for any errors or decisions based on this preliminary data. For more details, please see the Government of Canada's Open Commons license (https://open.canada.ca/en/open-government-licence-canada). 

        The Canadian Soil Information Service has developed a detailed dataset of Canada's soils and associated properties using advanced machine learning techniques. The Soil Landscape Grids of Canada is produced using a combination of historical and current data from both soil sampling and remote sensing. The machine learning model is trained using over 10,000 pedon locations from across Canada as well as 70 covariate datasets. This new dataset is pivotal in addressing the gaps left by legacy soil surveys and facilitates more comprehensive assessments nationwide. As new data becomes available and machine learning techniques advance, this information can be updated much faster than with traditional soil surveying methods.

Data and Resources

Contact Information

Country: Canada

Electronic Mail Address: aafc.cansis-siscan.aac@agr.gc.ca

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